MarioniLab/scran: Methods for Single-Cell RNA-Seq Data Analysis
Version 1.7.19

Implements functions for low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, detection of highly variable and significantly correlated genes, correction of batch effects, identification of marker genes, and other common tasks in single-cell analysis workflows.

Getting started

Package details

AuthorAaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb], Laleh Haghverdi [ctb]
Bioconductor views BatchEffect Clustering GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization
MaintainerAaron Lun <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
MarioniLab/scran documentation built on Feb. 24, 2018, 11:36 a.m.